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@@ -35,6 +35,32 @@ def images_to_video(InputPath, OutputPath):
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for i in range(len(img_array)):
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out.write(img_array[i])
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out.release()
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def images_to_video_bigtosmall(InputPath, OutputPath):
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img_array = []
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img_list = [os.path.join(InputPath,nm) for nm in os.listdir(InputPath) if 1]
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img_list.sort()
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i=0
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for filename in img_list:
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print(i)
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i+=1
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img = cv2.imread(filename)
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if i == 1:
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ImgHeight = np.shape(img)[0]
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ImgWidth = np.shape(img)[1]
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if img is None:
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print(filename + " is error!")
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continue
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img_array.append(img)
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if (i % 1500)==0:
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# 图片的大小需要一致
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#img_array, size = resize(img_array, 'largest')
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fps = 25
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out = cv2.VideoWriter(OutputPath.replace("Detectionnew1","Detectionnew1{}".format(str(i))), cv2.VideoWriter_fourcc(*'DIVX'), fps, (ImgWidth,ImgHeight))
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for j in range(len(img_array)):
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out.write(img_array[j])
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out.release()
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def images_to_video_big(InputPath, OutputPath):
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img_array = []
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img_list = [os.path.join(InputPath,nm) for nm in os.listdir(InputPath) if 1]
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@@ -75,6 +101,6 @@ def images_to_video_big(InputPath, OutputPath):
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if __name__ == "__main__":
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T1 = time.time()
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images_to_video('../data_MPKFNet/result/images', '../data_MPKFNet/result_vedio/images.avi')
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images_to_video('../2', './test.avi')
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T2 = time.time()
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print("chengxuyunxingshijian is ",(T2-T1)*1000)
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